HiddenLayer Raises $100 Million for AI Runtime Security

AI Security Firm HiddenLayer Secures $100 Million to Protect Enterprise AI Applications

In a major funding round, AI security company HiddenLayer has raised $100 million to expand its platform and provide comprehensive protection for enterprise AI applications. This investment brings the total amount of funding secured by the Austin-based firm to over $155 million since its founding in 2022. With this new influx of capital, HiddenLayer plans to focus on developing runtime security capabilities that safeguard agentic AI agents from evolving threats.

The company’s flagship platform provides a suite of tools for discovering and securing AI applications throughout their lifecycle. This includes discovery, AI supply chain security, attack simulation, and runtime protection, ensuring compliance, safe AI adoption, and intellectual property protection. HiddenLayer’s aim is to provide enterprises with visibility into how AI agents act in production, allowing them to detect and prevent anomalous behavior, including manipulation, misuse, and unauthorized actions.

The funding round was led by Delta-v Capital, with additional support from prominent investors such as Booz Allen Ventures, Microsoft’s Venture Fund M12, Morgan Stanley, and Ten Eleven Ventures. This significant investment demonstrates the growing recognition of the importance of AI security in enterprise environments.

“We set out to pioneer trusted, secure use of AI for enterprises, long before most organizations saw the urgency we do today,” said Chris Sestito, co-founder and CEO of HiddenLayer. “This funding lets us keep growing the purpose-built team and platform required to meet that moment as agentic AI becomes core to how enterprises operate.”

HiddenLayer’s focus on runtime security is particularly noteworthy, given the increasing reliance of businesses on autonomous agents. As these agents write, review, and ship code with less human oversight, it is essential for organizations to have end-to-end AI-native security capabilities in place.

The importance of AI security cannot be overstated. With the growing adoption of agentic AI, the risk of unauthorized actions, manipulation, or misuse of AI applications becomes increasingly high. HiddenLayer’s platform offers a comprehensive solution to these challenges, providing enterprises with a robust defense against evolving threats.

For readers concerned about the security of their organization’s AI applications, there are several takeaways from this development. First and foremost, it is essential to prioritize runtime security when deploying agentic AI. This involves implementing tools that provide visibility into how AI agents act in production, as well as capabilities for detecting and preventing anomalous behavior.

Secondly, the increasing reliance on autonomous agents highlights the need for end-to-end AI-native security solutions. These platforms should be able to continuously test and prove trust in AI applications, ensuring that they operate safely and securely within the organization’s infrastructure. By prioritizing AI security and investing in robust defense mechanisms, businesses can mitigate the risks associated with agentic AI and ensure a more secure digital future.


Source: SecurityWeek — 2026-09-03